Professor: Bisshopp Course format: Lecture Number of respondents: 5 Total Enrollment: 6 Class Composition: Froshs: 2 Sophs: 3 Jrs: 1 Srs: 0 Concs: 1 Non-Concs: 3 Don't Know: 1

Instructor Average: 1.87 Course Average: 2.19

'Scientific Computing' is an introductory applied mathematics course focussing on the use of mathematical models and programs, as well as MATLAB, to analyze probability, statistics and their applications. There are no stated prerequisites, though some students felt that familiarity with computer programming and calculus would be an advantage.

Most of the respondents felt that Professor Bisshopp was very concerned about their level of understanding of the material. Though they complained that his lectures were difficult to follow, they found him very approachable and understandable outside of class.

Students spent an average of four hours a week on this class with times increasing near project deadlines. Four papers were due throughout the semester and reading assigned regularly. Students seemed to spend a moderate amount of effort on the course, but devoted a significant amount of time when papers were due. The papers were cited as a major motivating factor for some as they 'allowed for personal freedom and creativity' and were an integral part of the course.

In conclusion, most students were glad they took this course feeling that they had a learned a lot of useful programming and modeling techniques. Therefore, if you have an adequate Math background and want to learn more about statistical modelling, for fun or otherwise, then consider AM 10: Scientific Computing.

View AM/0010 in the Brown Online Course Announcement.